Weed control is nowadays a hi-tech discipline. Inter-row weed control is very sophisticated whereas the intra-row weed control lacks a lot. The aim of this pro ject is to implement an embedded system of an autonomous vision based intra-row weeding robot. Weed and crops can be distinguished due to several attributes like colour, shape and context fea- tures. Using an emebedded system has several advantages. The embedded system is specialized on video processing and is designed to withstand the needs of outdoor use. This embedded system is already able to distinguish between weed and crops. The per- formance of the hardware is very good whereas the software still needs some optimizations.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hh-238 |
| Date | January 2006 |
| Creators | Oberndorfer, Thomas |
| Publisher | Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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